WO2017054393A1 - Procédé et dispositif de sélection de porteuse - Google Patents

Procédé et dispositif de sélection de porteuse Download PDF

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Publication number
WO2017054393A1
WO2017054393A1 PCT/CN2016/073820 CN2016073820W WO2017054393A1 WO 2017054393 A1 WO2017054393 A1 WO 2017054393A1 CN 2016073820 W CN2016073820 W CN 2016073820W WO 2017054393 A1 WO2017054393 A1 WO 2017054393A1
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WO
WIPO (PCT)
Prior art keywords
carrier
factor
user
utility
load balancing
Prior art date
Application number
PCT/CN2016/073820
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English (en)
Chinese (zh)
Inventor
李建国
贾文娟
刘巧艳
杨宇冰
史治平
Original Assignee
中兴通讯股份有限公司
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Publication of WO2017054393A1 publication Critical patent/WO2017054393A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/0076—Allocation utility-based
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/006—Quality of the received signal, e.g. BER, SNR, water filling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution

Definitions

  • the present invention relates to the field of wireless communication technologies, and in particular, to a carrier selection method and apparatus based on a utility weighting factor.
  • LTE-A Long Term Evolution-Advanced
  • LTE-A LTE-Advanced
  • the utilization of spectrum by LTE is close to the theoretical upper limit. It is basically impossible to achieve the highest peak rate of LTE-A 1 Gbit/s in the maximum system bandwidth of LTE only 20 MHz. Therefore, using reasonable technology to broaden the transmission bandwidth is an inevitable trend in the future development of mobile communications. Therefore, LTE-A proposes a CA (Carrier Aggregation) technology, and carrier aggregation can jointly serve a User Equipment (UE) by integrating several discrete frequency bands.
  • CA Carrier Aggregation
  • LTE-A systems with CA have multiple component carriers, while traditional resource scheduling
  • the scheme only considers the RB (Resource Block) level scheduling, and cannot be directly used for resource scheduling in the carrier aggregation scenario.
  • the resource scheduling algorithm of the CA two hierarchical scheduling of the carrier level and the RB level need to be considered.
  • the selection of component carriers and packet scheduling in the LTE-A carrier aggregation scenario are the two main functional modules in wireless resource management.
  • the LTE-A system has one component carrier selection step in the radio resource management. After the new UE accesses the network, the eNB of the LTE-A (eNodeB) selects some component carriers for each UE to perform carrier aggregation according to the channel quality of the component carrier and the traffic load.
  • a UE selects a low-quality component carrier for a long time, it can not only bring considerable performance gain to the system, but also occupy system resources, resulting in wasted system resources, carrier use efficiency and system. Low throughput.
  • the technical problem to be solved by the present invention is to provide a carrier selection method and apparatus for solving the problem of low carrier utilization efficiency and low system throughput in the prior art.
  • the present invention provides a carrier selection method, the method comprising the following steps:
  • A. Determine the number of carriers that need to be configured.
  • the step A includes: determining the number of carriers to be configured according to the capability information reported by the user equipment and the information about the base station itself.
  • the step B specifically includes:
  • the method specifically includes:
  • ⁇ is a carrier characteristic factor of user k
  • d k is a distance of user k from a base station of the cell
  • R i is a coverage radius of component carrier i
  • M is a number of component carriers.
  • the method specifically includes:
  • ⁇ is a load balancing factor
  • W i is the bandwidth of the i-th carrier
  • L(Q t , i) is the queue length of the user t on the i-th member carrier. The sum of the queue lengths for accessing the i-th carrier.
  • the method specifically includes:
  • the method specifically includes:
  • Channel quality information on each carrier is obtained by event measurement, thereby obtaining a signal to interference and noise ratio SINR and quantizing, and using the signal to interference and noise ratio SINR as a carrier characteristic factor.
  • the method specifically includes:
  • the method specifically includes:
  • the method further includes determining whether the number of access carriers of each user equipment meets the requirement; if not, repeating steps B and C to perform the second round of carrier allocation; otherwise, the component carrier selection ends.
  • the present invention also provides a carrier selection device, the device comprising:
  • a carrier quantity determining unit configured to determine a number of carriers to be configured
  • a utility weight factor obtaining unit configured to obtain a utility weighting factor of the user selected member carrier
  • a carrier selection unit configured to select, according to the size of the utility weighting factor, a carrier that has the largest access value of the user equipment.
  • the utility weight factor acquisition unit includes:
  • a load balancing factor acquisition subunit for acquiring a load balancing factor
  • a utility weighting factor calculation subunit is configured to calculate the utility weighting factor according to the carrier characteristic factor and a load balancing factor.
  • the present invention is applicable to a non-joint queue scheduling structure in a scenario of inter-band spectrum aggregation, which comprehensively considers carrier characteristics and carrier load balancing, can reduce scheduling load, avoids resource waste, thereby improving carrier usage efficiency and improving system throughput.
  • 1 is a schematic diagram of a carrier selection scenario based on a utility weighting factor
  • FIG. 2 is a schematic diagram of a system scenario according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a carrier selection method according to an embodiment of the present invention.
  • the present invention provides a carrier selection method and apparatus.
  • the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
  • the base station first determines the number of carriers to be configured; then obtains the utility weight factor of the user selected component carrier; finally, according to the size of the utility weighting factor, selects the carrier with the largest user utility access value.
  • the LTE-A user can use multiple RBs on a component carrier (Component Carrier), and different carrier transmissions are used.
  • Component Carrier component carrier
  • the difference in the characteristics is large, so the carrier selection is introduced before the RB allocation, so the mode includes two-stage scheduling of carrier selection and RB allocation.
  • a carrier selection algorithm based on a utility weighting factor is adopted, which comprehensively considers carrier load balancing and carrier characteristics.
  • the utility weighting factors are defined as follows:
  • f represents the parameters ⁇ , ⁇ to Mapping relationship, where Indicates that user k selects the utility weight factor of the i-th CC, ⁇ denotes a carrier characteristic factor, and ⁇ denotes a load balancing factor.
  • the M carriers are selected by the N users as an example, and the schematic diagram is as shown in FIG. 1 . among them Represents the utility weighting factor of user k on component carrier i. As can be seen from Figure 1, each carrier can carry a queue from N users, and each user can access each carrier for data transmission.
  • the implementation scenario of this embodiment is a carrier aggregation scenario, which is a discontinuous carrier aggregation between bands, and the scheduler is a non-joint queue scheduling structure. It is assumed that the system has H cells, and each cell has N LTE-A terminal users, each Users support full-band operation, that is, M carriers can be accessed.
  • Each CC has the same bandwidth W and contains the same number of RBs.
  • the coverage radius of the carrier is different, and the number of carriers that can be selected by different users is different.
  • the system scenario is shown in Figure 2.
  • the system has 5 component carriers, 800 MHz, 1.8 GHz, 3.25 GHz, 5 GHz, 10 GHz, 20 MHz per carrier, including 100 RBs, assuming each fan. There are 10 end users in the district.
  • carrier selection is first performed for each sector.
  • the component carrier is selected, the first carrier selection is first performed, and then the other carriers are aggregated according to the rate requirement of the UE service.
  • a carrier selection method in this embodiment is shown in FIG. 3, and the method includes the following steps:
  • the number of carriers to be configured is determined.
  • the base station determines according to the capability information reported by the UE and the related information of the base station itself. If it is an LTE system UE, it can only have one component carrier. If it is an LTE-Advanced system UE, it can have multiple component carriers.
  • a carrier characteristic factor is obtained.
  • the base station first acquires the distance from the user to the serving base station and the coverage radius of the carrier; Obtaining the carrier characteristic factor, where ⁇ is a carrier characteristic factor of user k, d k is a distance of user k from a base station of the cell, R i is a coverage radius of component carrier i, and M is a number of component carriers.
  • a carrier aggregation technology is added, which can jointly schedule non-contiguous carriers in different frequency bands, and the frequency spacing of these carriers may be very large, and the carrier characteristics of each frequency point may also be large. different.
  • the wavelength of the carrier corresponding to the high frequency point is shorter than that of the carrier of the lower frequency point, which is not conducive to long-distance transmission, and therefore can only cover the central area of the serving cell, while the low-frequency point carrier can be used to cover the entire cell. Therefore, the coverage radius of different frequency point carriers can be added to the evaluation of the carrier characteristic factor, specifically, the larger the carrier coverage radius (small), the larger the carrier characteristic factor is (small).
  • a load balancing factor is obtained.
  • the base station first calculates the load status on each carrier, and calculates the sum of the queue lengths of all user equipments on the carrier; Obtaining a load balancing factor, where ⁇ is a load balancing factor, W i is the bandwidth of the i-th carrier, and L(Q t , i) is the queue length of the user t on the i-th member carrier. The sum of the queue lengths for accessing the i-th carrier.
  • Load balancing also means that the carrier of each frequency band carries the amount of data matching it, and for different carriers they have different bandwidths, and the sum of the queue lengths of the users loaded on each carrier is different. Therefore, the variable that affects load balancing is the sum of the bandwidth of the carrier and the length of the queue loaded on the carrier. Specifically, the larger the bandwidth of the carrier is (small), the greater the contribution (small) to the load balancing factor; the longer (short) the sum of the queue lengths loaded on the carrier, the smaller (large) the load balancing factor.
  • Step s304 Calculate the utility weighting factor according to the carrier characteristic factor and the load balancing factor.
  • the base station according to the formula Calculating utility weighting factor Wherein, when d k >R i , the distance from the user to the base station is greater than the coverage radius of the carrier i, and the carrier i cannot be accessed, so the weighting factor is zero.
  • Step s305 The base station selects a carrier with the largest user utility access value according to the size of the utility weighting factor, completes mapping between the UE and the CC, and updates the queue on the carrier.
  • Step s306 The base station determines whether the number of access carriers of each user equipment meets the requirement; if not, Then, steps s302 to s305 are repeated to perform the second round of carrier allocation; otherwise, the component carrier selection ends.
  • the carrier selection method of this embodiment is similar to that of Embodiment 2 except that the process of obtaining the utility weighting factor of the user component selection is different. Considering that in the actual communication process, the distance d k between the user and the base station is difficult to obtain, and the practicability of the algorithm is limited.
  • ⁇ is defined as the signal to interference and noise ratio SINR.
  • Utility weighting factor The definition is as follows:
  • the carrier selection method of the embodiment of the present invention is as shown in FIG. 3, compared with the embodiment 2:
  • step s302 the present embodiment obtains channel quality information on each carrier by event measurement, thereby obtaining a signal to interference and noise ratio SINR and quantizing, and using the signal to interference and noise ratio SINR as a carrier characteristic factor. .
  • step s103 the first embodiment first calculates the load status on each carrier, and calculates the sum of the queue lengths of all user equipments on the carrier; Obtaining a load balancing factor, where ⁇ is a load balancing factor, and L(Q t , i) is a queue length of user t on the i-th member carrier, The sum of the queue lengths for accessing the i-th carrier.
  • step s104 the embodiment is based on a formula Calculating utility weighting factor
  • a carrier selection result as shown in Table 1 is formed, and the base station performs carrier allocation on the user according to the table.
  • a carrier selecting apparatus of this embodiment includes a carrier quantity determining unit, a utility weighting factor obtaining unit, and a carrier selecting unit, wherein the utility weighting factor obtaining unit is respectively connected to the carrier quantity determining unit and the carrier selecting unit.
  • the carrier quantity determining unit is configured to determine the number of carriers to be configured; the utility weighting factor obtaining unit is configured to obtain a utility weighting factor of the user selected component carrier; and the carrier selecting unit is configured to use the large weighting factor according to the utility Small, select the user equipment to access the carrier with the largest utility value.
  • the utility weight factor acquisition unit includes a carrier characteristic factor acquisition subunit, a load balance factor acquisition subunit, and a utility weight factor calculation subunit, wherein the utility weight factor calculation subunit is respectively connected with the carrier characteristic factor acquisition subunit and the load balance factor acquisition subunit .
  • the carrier characteristic factor obtaining subunit is configured to obtain a carrier characteristic factor
  • the load balancing factor obtaining subunit is configured to obtain a load balancing factor
  • the utility weighting factor calculating subunit is configured to calculate the utility weight according to the carrier characteristic factor and the load balancing factor factor.
  • the carrier selection device described above is configured to perform the carrier selection method described above.
  • the carrier selection device may be a base station, a computer, a server, or the like.
  • the carrier selection device may include at least one of a processing component, a memory, a power component, an input and output interface, and a communication component.
  • the processing component can perform all operations of the carrier selection device, such as data communication, recording operations, and the like.
  • Processing components may include one or more processors for executing instructions to implement all or a portion of the steps above.
  • the processing component can include one or more modules that facilitate interaction between the processing component and other components.
  • the memory is configured to store various types of data to support operation of the carrier selection device. Examples of such data include instructions, messages, etc. of any application or method running on a carrier selection device.
  • the memory can be implemented using any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • the power components provide power to various components of the carrier selection device.
  • the input/output interface provides an interface between the processing component and the peripheral interface module, and the peripheral interface module may be a keyboard, a click wheel, a button, or the like.
  • the communication component is configured to facilitate wired or wireless communication between the carrier selection device and other devices.
  • non-transitory computer readable storage medium comprising instructions, such as a memory comprising instructions executable by a processor of a carrier selection device to perform the above method.
  • the non-transitory computer readable storage medium described above may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.
  • the present invention is applicable to a non-joint queue scheduling structure in a scenario of inter-band spectrum aggregation, which comprehensively considers carrier characteristics and carrier load balancing, can reduce scheduling load, avoids resource waste, thereby improving carrier usage efficiency and improving system throughput.
  • the invention is applicable to the field of wireless communication technologies for achieving high carrier use efficiency and low system throughput.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention concerne un procédé de sélection de porteuse. Le procédé comprend les étapes consistant à : déterminer le nombre de porteuses devant être configurées; acquérir un facteur de pondération de service d'un utilisateur pour la sélection d'une porteuse membre; et sélectionner, selon la grandeur du facteur de pondération de service, une porteuse ayant la valeur de service d'accès la plus élevée pour un équipement d'utilisateur. La présente invention concerne également un dispositif de sélection de porteuse. La présente invention est applicable à une architecture de programmation de file d'attente disjointe dans un scénario d'agrégation de spectre inter-bande. Elle prend en charge à la fois une caractéristique de la porteuse et un équilibrage de charge de la porteuse. Cela permet de réduire la charge de programmation, d'éviter un gaspillage des ressources et, partant, d'améliorer l'efficacité d'utilisation de la porteuse et le débit du système.
PCT/CN2016/073820 2015-09-28 2016-02-15 Procédé et dispositif de sélection de porteuse WO2017054393A1 (fr)

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CN110446266A (zh) * 2019-09-11 2019-11-12 南京邮电大学 一种WiFi载波聚合技术的分量载波选择方法

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US20210314816A1 (en) * 2018-09-04 2021-10-07 Beijing Xiaomi Mobile Software Co., Ltd. Method and Device for Transmitting Load Balancing Factors
KR20230135142A (ko) * 2021-03-12 2023-09-22 후아웨이 테크놀러지 컴퍼니 리미티드 반송파 처리 방법, 베이스밴드 유닛, 및 저장 매체

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